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pro vyhledávání: '"Bjare, Mathias Rose"'
In recent years, the quality and public interest in music generation systems have grown, encouraging research into various ways to control these systems. We propose a novel method for controlling surprisal in music generation using sequence models. T
Externí odkaz:
http://arxiv.org/abs/2408.06022
Research in natural language processing has demonstrated that the quality of generations from trained autoregressive language models is significantly influenced by the used sampling strategy. In this study, we investigate the impact of different samp
Externí odkaz:
http://arxiv.org/abs/2308.09454
Autor:
Bjare, Mathias Rose, Lattner, Stefan
It has been shown in a recent publication that words in human-produced English language tend to have an information content close to the conditional entropy. In this paper, we show that the same is true for events in human-produced monophonic musical
Externí odkaz:
http://arxiv.org/abs/2211.13016